Triple

T29598027

Position	Surface form	Disambiguated ID	Type / Status
Subject	Raxaul–Birgunj crossing	`E754358`	entity
Predicate	hasNearbyDryPort	`P86796`	FINISHED
Object	Birgunj Inland Container Depot Birgunj Inland Container Depot is a major dry port and freight terminal in Birgunj, Nepal, serving as a key hub for international trade and cargo movement between Nepal and India.	`E1874834`	NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Birgunj Inland Container Depot | Statement: [Raxaul–Birgunj crossing, hasNearbyDryPort, Birgunj Inland Container Depot]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Birgunj Inland Container Depot
Triple: [Raxaul–Birgunj crossing, hasNearbyDryPort, Birgunj Inland Container Depot]

Generated description

Birgunj Inland Container Depot is a major dry port and freight terminal in Birgunj, Nepal, serving as a key hub for international trade and cargo movement between Nepal and India.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasNearbyDryPort
Context triple: [Raxaul–Birgunj crossing, hasNearbyDryPort, Birgunj Inland Container Depot]

A. hasNearbyHarbor
Indicates that one location has a harbor situated close to it in geographic proximity.
B. hasNearbyPortCountry
Indicates that one entity is a country that has a seaport located geographically close to the other entity.
C. hasNearbyFerryPort
Indicates that one location is situated close enough to another location that serves as a ferry port to be considered nearby.
D. nearbyPortFacility chosen
Indicates that one entity is located close to or in the immediate vicinity of a port facility.
E. isMainDeepWaterPortFor
Indicates that one location serves as the primary deep-water port facility for another entity, such as a region, city, or country.
F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69f0ef84e5d08190a0df17f5930ceed3`	completed	April 28, 2026, 5:33 p.m.
NER	Named-entity recognition	`batch_69fe5d58c3e48190910aa3c23485e2c4`	completed	May 8, 2026, 10:02 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a262d803f708190a1ab1fc840ec06a1`	completed	June 8, 2026, 2:48 a.m.
NEDg	Description generation	`batch_6a263163ffb08190b378d03e637e6e41`	completed	June 8, 2026, 3:05 a.m.
NED2	Entity disambiguation (via description)	`batch_6a26366e65a081908a92fcba16441277`	completed	June 8, 2026, 3:26 a.m.
PD	Predicate disambiguation	`batch_69fe5c92090c8190bcfa412c0a3619df`	completed	May 8, 2026, 9:58 p.m.

Created at: April 28, 2026, 6:19 p.m.